diff --git a/README.md b/README.md
index 60ffbe728178705b1734e682868614025214c2a4..45186ec4ef48dc305b2616dbf4966f01c3609962 100644
--- a/README.md
+++ b/README.md
@@ -19,7 +19,7 @@ Our vision is to enable deep learning for everyone via PaddlePaddle.
 Please refer to our [release announcement](https://github.com/PaddlePaddle/Paddle/releases) to track the latest feature of PaddlePaddle.
 
 
-### Latest PaddlePaddle Release: [Fluid 0.14.0](https://github.com/PaddlePaddle/Paddle/tree/v0.14.0)
+### Latest PaddlePaddle Release: [Fluid 0.15.0](https://github.com/PaddlePaddle/Paddle/tree/v0.15.0)
 ### Install Latest Stable Release:
 ```
 # Linux CPU
@@ -76,26 +76,26 @@ pip install paddlepaddle-gpu==0.14.0.post85
 
 ## Installation
 
-It is recommended to read [this doc](http://paddlepaddle.org/documentation/docs/zh/0.14.0/new_docs/beginners_guide/install/install_doc.html) on our website.
+It is recommended to read [this doc](http://paddlepaddle.org/documentation/docs/zh/0.15.0/new_docs/beginners_guide/install/install_doc.html) on our website.
 
 ## Documentation
 
-We provide [English](http://paddlepaddle.org/documentation/docs/en/0.14.0/getstarted/index_en.html) and
-[Chinese](http://paddlepaddle.org/documentation/docs/zh/0.14.0/new_docs/beginners_guide/index.html) documentation.
+We provide [English](http://paddlepaddle.org/documentation/docs/en/0.15.0/getstarted/index_en.html) and
+[Chinese](http://paddlepaddle.org/documentation/docs/zh/0.15.0/new_docs/beginners_guide/index.html) documentation.
 
 - [Deep Learning 101](https://github.com/PaddlePaddle/book)
 
   You might want to start from this online interactive book that can run in a Jupyter Notebook.
 
-- [Distributed Training](http://paddlepaddle.org/documentation/docs/zh/0.14.0/new_docs/user_guides/howto/training/cluster_howto.html)
+- [Distributed Training](http://paddlepaddle.org/documentation/docs/zh/0.15.0/new_docs/user_guides/howto/training/cluster_howto.html)
 
   You can run distributed training jobs on MPI clusters.
 
-- [Python API](http://paddlepaddle.org/documentation/api/zh/0.14.0/fluid.html)
+- [Python API](http://paddlepaddle.org/documentation/api/zh/0.15.0/fluid.html)
 
    Our new API enables much shorter programs.
 
-- [How to Contribute](http://paddlepaddle.org/documentation/docs/zh/0.14.0/new_docs/advanced_usage/development/contribute_to_paddle.html)
+- [How to Contribute](http://paddlepaddle.org/documentation/docs/zh/0.15.0/new_docs/advanced_usage/development/contribute_to_paddle.html)
 
    We appreciate your contributions!
 
diff --git a/paddle/fluid/framework/ir/fc_lstm_fuse_pass.cc b/paddle/fluid/framework/ir/fc_lstm_fuse_pass.cc
index f7fda873574a0f8b10251d4fa6b604a9312ad7f9..aa95d3e9f6c8221f6e48d192b73ad5135539dc75 100644
--- a/paddle/fluid/framework/ir/fc_lstm_fuse_pass.cc
+++ b/paddle/fluid/framework/ir/fc_lstm_fuse_pass.cc
@@ -51,7 +51,7 @@ int BuildFusion(Graph* graph, const std::string& name_scope, Scope* scope,
     if (with_fc_bias) {
       // Add FC-bias with LSTM-bias and create a new weight
       PADDLE_ENFORCE(scope);
-      const std::string& new_bias_var = name_scope + "_bias.new";
+      const std::string& new_bias_var = patterns::UniqueKey("NewBias");
       auto* bias_var = scope->Var(new_bias_var);
       PADDLE_ENFORCE(bias_var);
       auto* bias_tensor = bias_var->GetMutable<framework::LoDTensor>();
@@ -120,7 +120,6 @@ int BuildFusion(Graph* graph, const std::string& name_scope, Scope* scope,
 
   auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph,
                      Graph* g) {
-
     GET_IR_NODE_FROM_SUBGRAPH(lstm, lstm, lstm_pattern);
     GET_IR_NODE_FROM_SUBGRAPH(Weight, Weight, lstm_pattern);
     GET_IR_NODE_FROM_SUBGRAPH(Bias, Bias, lstm_pattern);
@@ -136,7 +135,7 @@ int BuildFusion(Graph* graph, const std::string& name_scope, Scope* scope,
                    fc_bias);
       // Remove unneeded nodes.
       std::unordered_set<const Node*> marked_nodes(
-          {mul, lstm, elementwise_add});
+          {mul, lstm, elementwise_add, fc_bias});
       GraphSafeRemoveNodes(graph, marked_nodes);
     } else {
       GET_IR_NODE_FROM_SUBGRAPH(fc_out, mul_out, fc_pattern);
diff --git a/paddle/fluid/inference/analysis/ir_pass_manager.cc b/paddle/fluid/inference/analysis/ir_pass_manager.cc
index 30c1e8e93d2513dca4531d224fb939ec47a7739d..e76708baf4b39afb0febbcf3ff71281dfbfc8627 100644
--- a/paddle/fluid/inference/analysis/ir_pass_manager.cc
+++ b/paddle/fluid/inference/analysis/ir_pass_manager.cc
@@ -14,6 +14,7 @@
 
 #include "paddle/fluid/inference/analysis/ir_pass_manager.h"
 #include <string>
+#include <vector>
 #include "paddle/fluid/framework/ir/fuse_pass_base.h"
 #include "paddle/fluid/framework/ir/graph.h"
 #include "paddle/fluid/framework/scope.h"
@@ -37,13 +38,16 @@ IRPassManager::IRPassManager(const ProgramDesc &program,
 void IRPassManager::Apply(const std::vector<std::string> &passes) {
   // Apply all the passes
   std::string pre_pass;
+  int pass_num = 0;
   for (const std::string &pass_name : passes) {
     PrettyLogEndl(Style::H2(), "--- Running IR pass [%s]", pass_name);
     auto pass = framework::ir::PassRegistry::Instance().Get(pass_name);
     if (pass_name == "graph_viz_pass") {
-      std::string dot_file_path =
-          "ir_" + (pre_pass.empty() ? "origin" : pre_pass) + ".dot";
+      std::string dot_file_path = std::to_string(pass_num) + "_ir_" +
+                                  (pre_pass.empty() ? "origin" : pre_pass) +
+                                  ".dot";
       pass->Set("graph_viz_path", new std::string(std::move(dot_file_path)));
+      pass_num++;
     }
     graph_ = pass->Apply(std::move(graph_));
     pre_pass = pass_name;